You will be responsible for building and running the data processing pipeline on Google cloud platform

– Work with implementation teams from concept to operations, providing deep technical expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on GCP
– Design pipelines and architectures for data processing
– Implement methods for Devops automation of all parts of the build data pipelines to deploy from development to production
– Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management
– Extract, load, transform, clean and validate data
– Supporting and debugging data pipelines

Must-have requirements
– At least 4 years of experience working as a Data Engineer
– Good Development experience in Data Warehouse platform
– Experience with Data Staging, Data Transformation and Change Data Management
– Good experience in Advanced SQL
– Good Python skills
– Experience in a Cloud Datawarehouse platform (can be any but Big Query is mostly preferred)
– Good command of English communication

Good-to-have requirements
– Experience with GCP
– Relative experience in Containerization: Docker and Kubernetes
– Relative experience in declarative CI/CD or DevOps
– Relative experience in Infrastructure as a Code (IaaC) (i.e., Terraform, Cloud Build)
– Experience with automated testing (ideally Robot Framework)
– Relative experience in Data Management: Data Governance, Data Architecture, Data Modelling, Data Quality, Data integration